Ene Ette

66 papers and 2.0k indexed citations i.

About

Ene Ette is a scholar working on Statistics and Probability, Pharmacology and Oncology. According to data from OpenAlex, Ene Ette has authored 66 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics and Probability, 20 papers in Pharmacology and 11 papers in Oncology. Recurrent topics in Ene Ette’s work include Statistical Methods in Clinical Trials (30 papers), Antibiotics Pharmacokinetics and Efficacy (20 papers) and Statistical Methods and Bayesian Inference (14 papers). Ene Ette is often cited by papers focused on Statistical Methods in Clinical Trials (30 papers), Antibiotics Pharmacokinetics and Efficacy (20 papers) and Statistical Methods and Bayesian Inference (14 papers). Ene Ette collaborates with scholars based in United States, Nigeria and Uganda. Ene Ette's co-authors include Paul J. Williams, Thomas M. Ludden, James R. Lane, He Sun, B. Whiting, Edmund V. Capparelli, Leonard C. Onyiah, Yong Ho Kim, Emmanuel E. Essien and Andrew W. Kelman and has published in prestigious journals such as Blood, Neurology and Nature Reviews Drug Discovery.

In The Last Decade

Co-authorship network of co-authors of Ene Ette i

Fields of papers citing papers by Ene Ette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ene Ette. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ene Ette. The network helps show where Ene Ette may publish in the future.

Countries citing papers authored by Ene Ette

Since Specialization
Citations

This map shows the geographic impact of Ene Ette's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ene Ette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ene Ette more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025